Triple
T33929303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Law, University of Lucerne |
E869841
|
entity |
| Predicate | degreeProgram |
P168265
|
FINISHED |
| Object | Bachelor of Law |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bachelor of Law | Statement: [Faculty of Law, University of Lucerne, degreeProgram, Bachelor of Law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeProgram Context triple: [Faculty of Law, University of Lucerne, degreeProgram, Bachelor of Law]
-
A.
degreePrograms
chosen
Indicates a relationship where an institution or entity offers, manages, or is associated with specific academic degree programs.
-
B.
degreeOutcome
Indicates the academic qualification or result (such as a specific degree or classification) that is obtained as the outcome of a course of study or educational program.
-
C.
degreeCompletion
Indicates that an entity has successfully fulfilled all requirements to complete and obtain an academic degree.
-
D.
degreeSystem
Indicates a relationship where an entity’s degree or qualification is defined, classified, or governed by a particular educational or grading system.
-
E.
degreeRelatedTo
Indicates a relationship where one entity’s academic degree is connected or relevant to another entity, such as a person, field of study, or institution.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.